Influence of Reentry Turbulent Plasma Fluctuation on EM Wave Propagation

Lin, Tony; Sproul, Linda; Fedele, J.; Pearce, B.

doi:10.2514/6.2002-2106

Cited by 7 publications

(9 citation statements)

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“…The estimated Gaussian mean and variance in each state are derived from the expectation of (ω, μ, σ ) when k (i) = k op . The hidden state sequence z t can be estimated using (15). The state transition matrix A can be obtained further with (9).…”

Section: B Description Of the Rj-mcmc Algorithmmentioning

confidence: 99%

“…Zhiwei et al [18] discussed the impact of turbulence perturbation on wave amplitude and phase jitter. Previous studies on amplitude and phase parasitic modulation were conducted [15], [19], [20], and the parasitic modulation effects were clearly observed when a signal is transmitted through a time-varying plasma with a simple square wave variation produced by a ground-plasma-glow discharge device [21], [22]. The amplitude and phase parasitic modulation of the signal caused by the time-varying plasma is the multiplicative interference from a communication perspective.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive Multistate Markov Channel Modeling Method for Reentry Dynamic Plasma Sheaths

Shi

Liu

Fang

et al. 2016

IEEE Trans. Plasma Sci.

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Channel modeling of a plasma sheath for hypersonic reentry vehicles is important in addressing reentry communication blackout issues. Given that the time-varying property of the transmission medium is caused by physical factors such as largescale flight conditions variation, especially angle of attack, and small-scale fluid turbulence, a new adaptive multistate Markov channel modeling method is proposed to present the dynamic effects of reentry plasma sheaths on wireless channels. First, a quasi-Gaussian function mathematical model for the electron density of a dynamic plasma sheath is established according to the variation frequency of the dynamic physical factors. Then, the time-varying attenuation is calculated by combining the quasi-static Monte Carlo and uniform hierarchical analytical methods for nonuniform electronic density distribution. Finally, a hidden Markov model is employed to model the channel characteristics of the dynamic plasma sheath, and a reversiblejump Markov chain Monte Carlo algorithm is used to adaptively estimate the channel parameters of the multistate Markov channel. Simulation results show that the first-order statistical properties of the proposed channel are in good agreement with the calculated variable attenuation of radio waves, and this method has the adaptive capacity to estimate the number of multiple states and the channel parameters in each state without a need for manual setting. IndexTerms-Dynamic plasma sheath, Markov channel, reversible-jump Markov chain Monte Carlo algorithm (RJ-MCMC).

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Section: B Description Of the Rj-mcmc Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adaptive Multistate Markov Channel Modeling Method for Reentry Dynamic Plasma Sheaths

Shi

Liu

Fang

et al. 2016

IEEE Trans. Plasma Sci.

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“…The hypersonic experiment revealed that these complex flow fields had many tiny structures, such as turbulent flows [4]. Each tiny eddy scatters electromagnetic waves, such that communication and radar signals are affected by random interference [5]. Thus, with the rapid development of technical aeronautics and space, the study of the hypersonic plasma turbulence is becoming increasingly important [6].…”

Section: Introductionmentioning

confidence: 99%

Electromagnetic scattering characteristics of foil in hypersonic plasma turbulence

Gong

2019

IET Microwaves, Antennas & Propagation

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To investigate the electromagnetic scattering problem related to a foil in a turbulent hypersonic plasma environment, the scattering field formulas for hypersonic plasma turbulence were improved by applying the anisotropic power spectrum. Using the theory of electromagnetic scattering of a conducting object, the second moment of a conducting object's scattering field is obtained in the hypersonic plasma turbulence. Finally, the backscattering cross‐section of the foil surrounded by the hypersonic plasma turbulence was calculated. The results showed that the fractal dimension led to an increase in the complexity of the hypersonic turbulent structure, and thus had a greater influence on the electromagnetic wave scattering. The scattering cross‐section of the foil in the hypersonic turbulence decreases rapidly. Meanwhile, the anisotropic parameters in the model represent scale‐dependent stretching of the turbulent eddy. As the anisotropic parameters of the turbulence increase, there will be less scattering of the hypersonic turbulence. At this point, the total scattering cross‐section of the foil in hypersonic plasma turbulence increases gradually. By improving the aerodynamic shape of the aircraft, it can produce a large number of anisotropic turbulent eddies which can effectively improve the passive jamming capability when the foil is cast.

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“…In recent years, experimental research has confirmed that the plasma sheath surrounding an aircraft possesses turbulent features [1]. Since then, researchers have been attempting to solve hypersonic turbulence in aerospace engineering.…”

Section: Introductionmentioning

confidence: 99%

Propagation characteristics of Gaussian beams in plasma sheath turbulence

Yang

2017

IET Microwaves, Antennas & Propagation

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In this study, the new fractal model and power spectrum of plasma sheath turbulence are established based on the fractal dimensions in hypersonic turbulence that were measured through experiments. The expression for beam spot size, scintillation index, angle‐of‐arrival fluctuation, and beam wander are obtained from the power spectrum. Finally, the propagation characteristics of a Gaussian beam in a turbulent plasma sheath are simulated. The authors’ results indicate that plasma sheath turbulence can lead to amplitude and phase variations. A larger variance in the plasma sheath turbulence causes a more evident refractive index fluctuation and a greater effect on the Gaussian beam propagation characteristics. On the contrary, a larger Reynolds number reduces the effect of the plasma sheath turbulence on the Gaussian beam. This new power spectral model is fundamental to understanding Gaussian beam propagation in plasma sheath turbulence and may provide a reference for the imaging and communication system under the effect of plasma sheath turbulence.

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Influence of Reentry Turbulent Plasma Fluctuation on EM Wave Propagation

Cited by 7 publications

References 0 publications

Adaptive Multistate Markov Channel Modeling Method for Reentry Dynamic Plasma Sheaths

Adaptive Multistate Markov Channel Modeling Method for Reentry Dynamic Plasma Sheaths

Electromagnetic scattering characteristics of foil in hypersonic plasma turbulence

Propagation characteristics of Gaussian beams in plasma sheath turbulence

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